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February 6, 20260 citationsOpen Access

Robust Semantic Fragmentation and Proof Width: A Topological–PCP Approach to Lower Bounds in Proof Complexity

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MAMichael Arias

Key Points

  • The central aim is to establish a robust notion of semantic fragmentation that leads to linear lower bounds on resolution width.
  • Develops a notion of semantic fragmentation that withstands obstructions in global-structure approaches.
  • Introduces a restriction-stable refinement of earlier Helly-type invariants.
  • Analyzes robustness under locality-preserving reductions.
  • Proves that robust semantic fragmentation implies linear lower bounds on resolution width.
  • Demonstrates that explicit EXACTLY-ONE surface formulas satisfy the robust property.
  • Clarifies the specifics of what separates semantic hardness from unconditional complexity separations.

Abstract

This paper develops a robust notion of semantic fragmentation designed to survive known obstructions in global-structure approaches to P vs NP. Building on earlier results showing that naive Helly-type invariants collapse under polynomial-time reductions, it introduces a restriction-stable refinement and proves that robust semantic fragmentation implies linear lower bounds on resolution width. Explicit EXACTLY-ONE surface formulas are shown to satisfy this robust property, yielding concrete proof-complexity lower bounds. The paper analyzes how robustness behaves under reductions, identifies locality-preserving reductions as the correct invariant class, and reduces further progress to the construction of robust PCP systems. The framework clarifies the precise technical bottlenecks separating semantic hardness from unconditional complexity separations.

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Cite This Study

Michael Arias (2026) studied this question.

synapsesocial.com/papers/6985859b8f7c464f23009266https://doi.org/10.5281/zenodo.18484841
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